FPF:UIMOIBP062 D. A. Modalities & RS in Med. - Course Information

UIMOIBP062 Diagnostic Acquisition Modalities and Robotic Systems in Medicine

Extent and Intensity

2/2/0. 5 credit(s). Type of Completion: zk (examination).

Teacher(s)

Ing. Iveta Bryjová (lecturer)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
Ing. Iveta Bryjová (seminar tutor)
doc. Ing. Petr Čermák, Ph.D. (seminar tutor)
RNDr. Šárka Vavrečková, Ph.D. (assistant)

Guaranteed by

doc. Ing. Petr Čermák, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava

Timetable

Wed 12:15–13:50 PU-UF

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

• Information and communication technologies (programme FPF, MOI)

Course objectives

The course acquaints students with the physical and structural principles of imaging modalities in medicine. Students will gain knowledge about the technology of various types of imaging systems, physical and mathematical principles of selected imaging methods, technical properties and design elements of medical imaging systems: conventional radiography (X-ray), computed tomography (CT), magnetic resonance imaging (MRI), imaging methods in dentistry (OPG, CB CT), ultrasonography (USG) and ultrasound elastography, nuclear medicine imaging systems (PET, SPECT). The second part of the course introduces the basics of robotic systems and their applications in medicine. Students will be acquainted with the basic topics with a preference for electrical engineering and computer science. The basic medical robotic platforms will be classified: assistance, diagnostic, therapeutic, and surgical, including radiodiagnostics (robotic irradiation with emphasis on minimizing damage to the surrounding, non-tumor, tissue). Excursions to clinical workplaces that use robotic systems for selected surgical interventions (eg DaVinci robotic system (Olomouc University Hospital)) are expected. Students will be able to prototype an assistance robot and develop a remote-controlled robotic arm to control an ultrasound probe for further development of telemedicine applications.

Learning outcomes

After completing the course, the student will be able to:
- understand the technologies of conventional radiography (X-ray), computed tomography (CT), magnetic resonance imaging (MRI), imaging in dentistry (OPG, CB CT), ultrasonography (USG) and ultrasound elastography, nuclear medicine imaging systems (PET, SPECT),
- compare medical robotic platforms: assistance, diagnostic, therapeutic and surgical, including radiodiagnostics (robotic irradiation with emphasis on minimizing damage to the surrounding, non-tumor, tissue).

Syllabus

• 1. Introduction to diagnostics with image output, division of medical imaging systems, legislation, ALARA principle.
• 2. Ultrasound sonography (basic concepts of ultrasound acoustics; physical principles of ultrasound; generation of ultrasound, piezoelectric effect, ultrasound probe; clinical imaging using ultrasound, imaging modes).
• 3. Ultrasonic Doppler imaging (Doppler effect, Doppler imaging modes, biomedical principles of Doppler methods; risks of ultrasonic Doppler methods).
• 4. Ultrasound elastography (static elastography, dynamic elastography - Shear Waves elastography), intravascular elastography, elastic properties of tissues, physical principles.
• 5. Digital X-ray (physical principles, source of X-rays, the passage of X-rays, detection of X-rays, skiagraphy, sciascopy). Digital subtraction angiography (DSA), X-ray bone densitometry 6. X-ray diagnostics in dentistry (OPG, dRTG, intraoral imaging techniques).
• 7. Computed tomography (history and development of CT; definition of basic concepts; implementation of CT devices, design solution of CT scanner, detection system; the principle of data collection, image reconstruction, reconstruction algorithms; evaluation of image quality; CT standards; Slip-ring technology, helical CT; real-time CT; multi-slice CT; DSCT; MDCT; clinical use of individual technologies).
• 8. Magnetic resonance (history, nuclear magnetic resonance, physical principles, structural elements of MR scanner; magnetic systems MR; 3D image creation; T1 and T2 times; basic sequences, and their parameters).
• 9. Radionuclide scintigraphy (planar scintigraphy, tomographic scintigraphy - SPECT, CT; hybrid modalities).
• 10. Robotic surgical systems 1 (robotic surgery, history - Arthrobot, PUMA 560, ROBODOC, Artemis; basic division of robots, assistive robots - AESOP, imaging techniques of guided robots - NeuroMatewTM, surgical robots - ZEUS, daVinci; advantages of robotic surgery; robotic surgery; vs. laparoscopy).
• 11. Robotic surgical systems 2 (surgical navigation systems, computer navigation in traumatology, neuronavigation, OrthoPilot, CARTO, etc.).
• As part of practical exercises, students will visit a clinical workplace with medical imaging modalities, they will also practically solve the postprocessing of clinical image data, simulate the principle of MRI imaging, demonstrate the principles of computed tomography.

Literature

required literature
• Studijní materiály v systému Moodle
• DOWSETT, David, Patrick A. KENNY and Eugene R. JOHNSTON. The Physics of Diagnostic Imaging. 2, ilustrované vydání. CRC Press, 2006. ISBN 978-1-4441-1339-6. info

recommended literature
• Management Association, Information Resources. Medical Imaging: Concepts, Methodologies, Tools, and Applications: Concepts, Methodologies, Tools, and Applications: Premier reference source. IGI Global, 2016. ISBN 9781522505723
• MAIER, A., STEIDL, S., CHRISTLEIN, V., HORNEGGER, J. Medical Imaging Systems: An Introductory Guide: Lecture Notes in Computer Science – Svazek 11111 Image Processing, Computer Vision, Pattern Recognition, and Graphics. Springer, 2018. ISBN 9783319965208
• CARBONE, Giuseppe. New Trends in Medical and Service Robotics. Springer, 2018, 319 pp. Mechanisms and Machine Science Series, vol.65. ISBN 978-3-030-00329-6. info
• SCHWEIKARD, Achim and Floris ERNST. Medical Robotics. Springer, 2015, 424 pp. ISBN 978-3-319-22891-4. info
• SHUNG, Kirk K., Michael SMITH and Benjamin M. W. TSUI. Principles of Medical Imaging. Academic Press, 2012. ISBN 978-0-323-13993-9. info
• HRAZDÍRA, I., MOMSTEIN, V. Lékařská biofyzika a přístrojová technika. Brno: Neptun, 2001. ISBN 80-902896-1-4. info

Teaching methods

interactive lectures excursion

Assessment methods

Credit:
75% attendance of exercises, active approach, participation in clinical research
Credit written test 70 points
Exam:
Oral exam
Implementation of selected algorithms on robots 30 points
Fulfillment of min. 60 points

Language of instruction

Czech

Further Comments

Study Materials

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